Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add FTShare-Lab/FTShare-skill --skill index-candlesticksgit clone --depth 1 https://github.com/FTShare-Lab/FTShare-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ftshare-lab/ftshare-skill/index-candlesticks)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/index-candlesticks"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/index-candlesticks/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/index-candlesticks"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/index-candlesticks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00110 | $0.01215 |
| Opus 5 | $0.00055 | $0.00607 |
| Sonnet 5 | $0.00022 | $0.00243 |
| Haiku 4.5 | $0.00011 | $0.00121 |
Grade A, and why
index-candlesticks scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
指数 K 线 - 查询单只指数 K 线（index-candlesticks）
1. 接口描述
| 项目 | 说明 |
|---|---|
| 接口名称 | 查询单只指数历史 K 线 |
| 外部接口 | GET /api/v1/market/data/index-candlesticks |
| 请求方式 | GET（query 参数） |
| 适用场景 | 获取指定指数的分/日/周/月/年 K 线，含开高低收点位、成交量、成交额；支持前复权 / 后复权 / 不复权。仅接受指数标的 |
与
index-ohlcs（GET daec/history/ohlcs，YYYYMMDD 日期区间，仅日/周/月）区别：本接口走 GET query 参数，参数为毫秒时间戳，支持分钟级与年 K。
2. 请求参数
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| symbol | string | 是 | 指数代码（带市场后缀） | 000300.XSHG、399001.XSHE | 也接受 .SH/.SZ 短后缀；非指数标的当前返回系统错误 |
| interval_unit | string | 是 | 周期单位 | Day | Minute/Day/Week/Month/Year |
| interval_value | int | 否 | 间隔数值 | 1 | 默认 1；Minute+5 表示 5 分钟 K 线 |
| adjust_kind | string | 否 | 复权类型 | Forward | None（默认）/Forward（前复权）/Backward（后复权） |
| since_ts_millis | int | 否 | 开始时间戳（毫秒） | 1756700000000 | 分钟 K 线与 until 跨度 ≤3 天，其余周期不受 3 天限制 |
| until_ts_millis | int | 是 | 结束时间戳（毫秒） | 1756791000000 | - |
| limit | int | 否 | 返回条数上限 | 5 | 未传 since 和 limit 时默认最多返回 50 根 |
3. 响应说明
返回裸数组，每根 K 线包含：
| 字段名 | 类型 | 说明 | 单位 |
|---|---|---|---|
| open | string | 开盘点位 | 指数点 |
| high | string | 最高点位 | 指数点 |
| low | string | 最低点位 | 指数点 |
| close | string | 收盘点位（或最新点位） | 指数点 |
| ts_millis | int | 收盘时间戳 | 毫秒 |
| ts_millis_open | int | 开盘时间戳 | 毫秒 |
| turnover | string | 成交额（成分股合计） | 元 |
| volume | int64 | 成交量（成分股合计） | - |
4. 调用方式
python <RUN_PY> index-candlesticks --symbol 000300.XSHG --interval-unit Day --since-ts-millis 1756700000000 --until-ts-millis 1756791000000 --limit 5
python <RUN_PY> index-candlesticks --symbol 399001.XSHE --interval-unit Minute --interval-value 5 --adjust-kind Forward --since-ts-millis 1756700000000 --until-ts-millis 1756791000000
<RUN_PY> 为主 SKILL.md 同级 run.py 的绝对路径。输出 JSON，请求头已内置 X-Client-Name: ft-claw。
5. 注意事项
symbol、interval_unit、until_ts_millis必填。symbol必须是指数代码，格式{代码}.{市场}；非指数标的当前外部接口返回系统错误。- 分钟 K 线（
interval_unit=Minute）的since/until跨度硬限制 ≤3 天，超过需分段调用。 interval_value仅在interval_unit=Minute时生效：不传或传 1 为 1 分钟 K，传 5/15/30/60/120 为对应多分钟 K；其他周期忽略该字段。- 多分钟 K 按北京时间的每个交易日分别聚合，不跨交易日；以 5 分钟 K 为例，首根为 09:30—09:35，开高低收取区间首根开盘价、最高价、最低价、末根收盘价，成交量和成交额按区间求和。
- 默认不复权（None），
Forward前复权、Backward后复权。 - 价格字段（点位）JSON 中为字符串以避免精度丢失。
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 64 lines · 110 tokens per session scan A 3b23037df799
index-candlesticks is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed 2d ago), licensed MIT. It adds 110 tokens to every session and 1,215 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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